Abstract: Convolutional neural networks (CNNs) are widely adopted for remote sensing image scene classification. However, labeling of large annotated remote sensing datasets is costly and time ...
Abstract: Amid the brisk evolution of remote sensing (RS) technology, the domain of RS cross-modal text-image retrieval (RSCTIR) has captivated scholarly interest for its superior adaptability and ...
Note: This model has been trained for approximately 2.7M steps (batch size = 1) and is still in the training process. I have attached a .ipynb file in the repository. You can refer to it to know how ...
We propose Ψ-Sampler, an SMC-based framework that improves inference-time reward alignment in score-based generative models via efficient posterior initialization using the pCNL algorithm. We ...
According to @AIatMeta, Meta has launched SAM Audio, the first unified AI model capable of isolating individual sounds from complex audio mixtures using diverse prompts, including text, visual cues, ...
Meta Platforms Inc. is bringing prompt-based editing to the world of sound with a new model called SAM Audio that can segment individual sounds from complex audio recordings. The new model, available ...
SAM Audio is the first unified AI model that can segment sound from complex audio mixtures using text, visual, and time span prompts. This technology has the potential to transform audio and video ...
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